Get your data estate in order.
Map what you have. See what the business actually depends on. Put engineering time and warehouse spend behind the data that matters.
Dataring runs in your cloud. It reads metadata and access logs, never rows or query text, and applies only what you approve.
Keep your stack. Dataring puts it in order.
Maps every source, pipeline and dashboard in your stack, learns what the business depends on from how data is actually used, then proposes what to do about it: prioritize what matters, retire what nobody uses, refresh as often as the data earns it. You approve, Dataring applies.
BI
Pipelines and sync
Storage
Not a catalog, not an observability tool, not a consulting engagement. It runs in your cloud, on the tools you already use.
Your warehouse already knows who reads what. It just doesn’t act on it.
The table behind the CFO’s dashboard and a scratch table one analyst touched in March get the same monitoring, the same retries, the same schedule and the same bill.
Nobody can say what half your pipelines are for.
Fast growth, a tool for every job, and an estate nobody had time to describe, tag or own.
Your platform optimizes the query. It doesn’t ask whether the table should exist.
Every refresh burns compute whether anyone reads the result, and you’re billed for it. Cheaper queries don’t help a table that doesn’t need refreshing at all.
AI makes the estate bigger, not smaller.
Every model, copilot and agent your company ships adds feature tables, embeddings and the pipelines that refresh them. The estate now grows faster than the data team. Keeping it in order by hand is no longer a staffing problem; it’s arithmetic.
Organize the estate. Optimize the spend.
See everything your business runs on.
Connect your stack once. Dataring maps the rest.
Organize maps the estate: every source, pipeline, table and dashboard, with lineage end to end and who reads what. Already have a catalog? Dataring starts from what it knows and fills the gaps. Agents draft the descriptions, tags and owners nobody had time for, from what actually runs, and write them into your catalog once you approve.
What you get
- Lineage end to end
- Who reads what
- Descriptions and tags written for you
- Owners
- Classification
- Medallion layout
Spend on the data that matters.
Importance comes from how the business uses data, not from tags a human typed.
Optimize works out what matters and proposes what to do about it. Dataring knows the difference between the board’s dashboard and a scratch table. If a number reaches a regulator, auditor or customer, it’s critical, and everything upstream inherits that. Then it proposes:
- Scheduler priority, and first place in line after an outage, for the pipelines that matter.
- Retirement for pipelines nobody uses.
- Schedules that follow demand: wound down when nobody reads, restored when usage returns.
You approve, Dataring applies. Every change is logged with what was done and why. Savings (refresh compute, rebuilds and storage you stop paying for) are reported in your account, so finance can reconcile them to the invoice.
Other tools show you a star. Dataring changes what happens next.
Nothing leaves your account. Not rows, not query text.
Deployed in your cloud. Metadata and access logs only.
Dataring runs in an account you own and connects to the catalog, warehouse, transformation layer, orchestrator, BI and sync tools you already use. It reads metadata and access logs, never rows or query text. Agents propose changes, explain them, and apply the ones you approve. Everything it learns (importance, classification, descriptions and tags) is written back into the catalog your team already opens. It works on any warehouse and is strongest on BigQuery.
Read the security page
Dataring closes the gap between measuring what matters and doing something about it.
An estate nobody can fully describe.
- Pipelines nobody remembers building, feeding tables nobody is sure anyone reads.
- Descriptions, tags and owners: whoever had time, whenever they had it.
- The board pack and a scratch table get the same monitoring, the same retries, the same refresh schedule.
- Every refresh runs on a timer, so the bill tracks the calendar, not demand.
- Critical data is whatever a committee tagged last year.
Connect once. Dataring does the rest.
1
Connect.
Connect your catalog and a read-only account for warehouse access logs. About two hours of one engineer’s time.
2
Understand.
Dataring maps the estate, drafts what is missing, and works out what matters from how the business uses it.
3
Act.
Agents propose changes, explain them, and apply the ones you approve. Every change is logged.
See it on your data estate.
Thirty days, in your cloud, about two hours of one engineer’s time to start. You keep the map either way.